elassandra
lucene
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elassandra | lucene | |
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1 | 11 | |
1,706 | 2,303 | |
0.2% | 4.4% | |
0.0 | 9.8 | |
3 days ago | 7 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
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elassandra
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Tracking mentions began in Dec 2020.
lucene
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Building an efficient sparse keyword index in Python
First, a review of the landscape. As said in the introduction, there aren't a ton of good options. Apache Lucene is by far the best traditional search index from a speed, performance and functionality standpoint. It's the base for Elasticsearch/OpenSearch and many other projects. But it requires Java.
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Java Panama Vector API Integrated with Apache Lucene
https://github.com/apache/lucene/issues/10047
2. The Panama Vector API allows CPU's that support it to accelerate vector operations: https://openjdk.org/jeps/438
So this allows fast ANN on Lucene for semantic search!
How did people do this before Lucene supported it? Only through entirely different tools?
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What Is a Vector Database
Are they forking Lucene or somehow getting the Lucene devs to increase that limit? Because this PR has been open for over a year now: https://github.com/apache/lucene/issues/11507
- An alternative to Elasticsearch that runs on a few MBs of RAM
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A primer on Roaring bitmaps: what they are and how they work
Lucene's adaptation of Roaring uses the complement idea on a block-wise basis:
https://github.com/apache/lucene/blob/84cae4f27cfd3feb3bb42d...
- panama/foreign status update
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Amazon Elasticsearch Service Is Now Amazon OpenSearch Service
It is pretty clear to me that Elastic is planning to build their ANN features differently than OpenDistro's k-NN implementation, or other plugins modules that extend Easticsearch in similar ways. They now will build on the Apache Lucene capabilities that were collaboratively built "upstream" by a number of individuals, some that work for Amazon and some that work for Elastic.
From the linked issue, it seemed that they were originally planning to develop this as a proprietary feature of Elasticsearch, without contributing the functionality to Apache Lucene, but then changed direction when the Apache Lucene developers (some of which are currently employed to do such work by Amazon) started to build its approximate nearest neighbor (ANN) vector search capabilities. [1]
It's great to see folks that work for Elastic collaborating and building on what is in Apache Lucene to extend the utility of ANN with Hierarchical Navigable Small World Graphs (HNSW) [2]! From this, I think it should be possible to implement an Open Source version of the functionality with a compatible API, if that is something that OpenSearch users seek.
What are some alternatives?
pisa - PISA: Performant Indexes and Search for Academia
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
RoaringBitmap - A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others
OpenSearch - 🔎 Open source distributed and RESTful search engine.
Apache Solr - Apache Lucene and Solr open-source search software
resin - Vector space search engine. Available as a HTTP service or as an embedded library.
liqe - Lightweight and performant Lucene-like parser, serializer and search engine.
Sparkler - Spark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
LuceneBench - Lucene Benchmark : benchmarking Lucene vs. SeekStorm